| Hyperspectral image classification based on 3D coordination attention mechanism network C Shi, D Liao, T Zhang, L Wang Remote Sensing 14 (3), 608, 2022 | 34 | 2022 |
| Hyperspectral image classification based on expansion convolution network C Shi, D Liao, T Zhang, L Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 32 | 2022 |
| A spectral spatial attention fusion with deformable convolutional residual network for hyperspectral image classification T Zhang, C Shi, D Liao, L Wang Remote Sensing 13 (18), 3590, 2021 | 19 | 2021 |
| A complementary integrated Transformer network for hyperspectral image classification D Liao, C Shi, L Wang CAAI Transactions on Intelligence Technology 8 (4), 1288-1307, 2023 | 14 | 2023 |
| Deep spectral spatial inverted residual network for hyperspectral image classification T Zhang, C Shi, D Liao, L Wang Remote Sensing 13 (21), 4472, 2021 | 12 | 2021 |
| Hyperspectral image classification based on dual-branch spectral multiscale attention network C Shi, D Liao, Y Xiong, T Zhang, L Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 12 | 2021 |
| Joint classification of hyperspectral and LiDAR data base on mamba D Liao, Q Wang, T Lai, H Huang IEEE Transactions on Geoscience and Remote Sensing, 2024 | 6 | 2024 |
| Dual hybrid convolutional generative adversarial network for hyperspectral image classification C Shi, T Zhang, D Liao, Z Jin, L Wang International Journal of Remote Sensing 43 (14), 5452-5479, 2022 | 5 | 2022 |
| A spectral-spatial fusion transformer network for hyperspectral image classification D Liao, C Shi, L Wang IEEE Transactions on Geoscience and Remote Sensing 61, 2023 | | 2023 |